Introduction The 21st century is an era of big data involving all aspects of human life, including biology and medicine [ 1 ]. You can also do this using a Word Processor, or a concept mapping program like Inspiration free 30 trial downloada data base program e. Big data presents many opportunities for translational studies, and informatics will be the key for successful translational research [ 78 ].
Eighteen papers were unavailable. Finally, Log p as a function of Log n was plotted with respect to fields of study. A difference was made between definition, properties, and related concepts. Not Enough Human Experts Some authors mention the fact that the number of available human experts who have both clinical and analytic knowledge is not sufficient yet [ 3068 ]: This systematic search should ensure that we accumulate a relatively complete census of relevant literature of big data in healthcare.
As you take notes, record which specific aspects of the article you are reading are relevant to your topic as you read you will come up with key descriptors that you can record in your notes that will help you organize your findings when you come to write up your review. We used online search facilities the Free PMC database, Google, and Google Scholarresources, and services of the Lille University library and tried to directly contact the first or corresponding author.
The threshold resulted from a discussion between the authors of this paper, taking into account sizes of actual datasets, but also properties that are attributed to big data by the authors of the papers included in this literature review.
We also noted the number of journals which published papers about big data in healthcare per year. Nevertheless, as there is no definition of big data, the literature can itself be wrong.
Search Strategy The search query yielded papers. Titles and abstracts were reviewed by a human for eligibility. Writing the review Galvan, Challenge on Veracity Veracity comes next: We used online search facilities the Free PMC database, Google, and Google Scholarresources, and services of the Lille University library and tried to directly contact the first or corresponding author.
Unstructured data, for example, free text data [ 71237 ] and images [ 3238 — 40 ], are particularly a big challenge. Characteristics of Big Data The main characteristic about big data found in the papers is its massive size and complexity [ 79 — 17 ].
Papers were excluded due to the following reasons: Each of the remaining papers was included in the analysis and classified either as a paper describing a dataset, a dissertation, or a review of the literature. Big data raises challenges on veracity, on all aspects of the workflow, on extracting meaningful information, and on sharing information.
Discussion In this work, through a detailed literature review, we tried to provide a current and quantitative definition of big data. Related concepts are data reuse, false knowledge discovery, and privacy issues.
Evaluate your references for currency and coverage: These papers were classified into fields of study. Finally, we proposed a definition of big data in healthcare. Start with a general descriptor from the database thesaurus or one that you know is already a well defined descriptor based on past work that you have done in this field.
As a result, big data provides a wonderful opportunity for physicians, epidemiologists, and health policy experts to make data-driven decisions that will ultimately improve patient care [ 3 ]. Since different research studies focus on different aspects of the issue being studied, each article that you read will have different emphases, strengths.
A total of papers were included for full-text review.Data Collection Process. For each paper, we collected the following information: title, year of publication, journal title, specialty area, type of paper (paper using a dataset, dissertation, and literature review), the field of study, and characteristics given by authors to big data and to data reuse.
This paper aims to identify some emerging sectors that apply big-data analytics through a systematic literature review conducted by capturing the existing work done in this subject area by academicians and industry experts worldwide and specifically in India backed by a detailed domain-wise, nation-wise and within India, an institute-wise analysis of the contributions made.
Discussion. In this work, through a detailed literature review, we tried to provide a current and quantitative definition of big data. We performed a literature review. Abstract: A systematic literature review of papers on big data in healthcare published between and was conducted.
This paper reviews the definition, process, and use of big data. Big data analytics: a literature review Full Article One objective of this study is to classify big data analytics literature into categories based on research focuses.
As a hot research area, big data attracts lots of interests from researchers, practitioners and businesses.
As a concept widely used by big data analytics and regular. Data Collection Process. For each paper, we collected the following information: title, year of publication, journal title, specialty area, type of paper (paper using a dataset, dissertation, and literature review), the field of study, and characteristics given by authors to big data and to data reuse.Download